Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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Build multi-agent systems using the raw Anthropic API without any framework. Learn patterns for routing, delegation, result aggregation, and inter-agent communication using plain Python and Claude.
Build an AI-powered recipe finder agent that matches recipes to available ingredients, respects dietary restrictions, provides step-by-step cooking instructions, and suggests ingredient substitutions.
Navigate the evolving regulatory landscape for AI agents across the EU AI Act, US state laws, and emerging industry standards. Learn how agents are classified, what compliance obligations apply, and how to build regulation-ready agent systems.
A practical framework for deciding when to create specialized single-purpose agents versus general-purpose agents. Covers capability mapping, cost-quality tradeoffs, and real-world decision criteria.
Configure and optimize database connection pooling for AI agent applications comparing PgBouncer, pgpool-II, and application-level pools with monitoring strategies and troubleshooting guides.
Master the Pipeline pattern for AI agents — design sequential processing stages with intermediate results, error propagation, and checkpointing for resilient multi-step workflows.
Learn how to build knowledge graph memory for AI agents — extracting entities and relationships from text, storing them in graph structures, and querying connected information for richer agent reasoning.
Learn how to build an AI catering agent that guides clients through menu selection, handles dietary requirements, calculates pricing based on headcount, and manages event logistics.
Build and deploy MCP servers accessible over HTTP using the Streamable HTTP transport, with Server-Sent Events for streaming, stateless vs stateful session modes, and strategies for horizontal scaling.
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